DESCRIPTION:
 

For many years simulation models were applied in very large companies with transnational operations, however the use of personal computers and the availability of software within the reach of almost any company, puts the tools to direct the operations of any company to be more competitive.

Answer questions such as: What investment projects should I finance? How much wealth do they accumulate from my investments? What is the reliability of a system if it has redundant systems? How much of a product should I order if there is uncertainty in the quantity I can sell? How many employees should I hire to maintain the level of service? What will my corporate sales be if my branch sales are correlated? What is the end date of my project if the activities do not have a fixed duration? How many claims do I expect to have from an insurance policy? What is the amount I can expect to pay for a particular insurance? When there is a level of uncertainty they are easy to answer if the conditions can be simulated.

AIM:
 

Provide the participant with the necessary knowledge to define and analyze simulation models for decision making based on improving competitiveness.

ADDRESSED TO:
 

All those people who need to carry out simulations with the purpose of improving the competitiveness of the company.

CONTENTS:
 
  • The risk and its characteristics.
  • The need to analyze risk.
  • Definition of simulation.
  • The development of models in electronic spreadsheets.
  • Steps to develop a model.
  • Excel as a sheet for modeling.
  • The generation of random numbers.
  • Probability distributions.
  • Discrete and continuous variables
  • Advantages and disadvantages of simulation.
  • The fallacy of averages.
  • Select random variables.
  • Simulate with correlated or dependent variables.
  • Bounded and unbounded variables.
  • Measure the influence of variables.
  • Empirical distributions of historical data.
CONTENTS:

  • The risk and its characteristics.
  • The need to analyze risk.
  • Definition of simulation.
  • The development of models in electronic spreadsheets.
  • Steps to develop a model.
  • Excel as a sheet for modeling.
  • The generation of random numbers.
  • Probability distributions.
  • Discrete and continuous variables
  • Advantages and disadvantages of simulation.
  • The fallacy of averages.
  • Select random variables.
  • Simulate with correlated or dependent variables.
  • Bounded and unbounded variables.
  • Measure the influence of variables.
  • Empirical distributions of historical data.

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